The graph represents a network of 614 Twitter users whose tweets in the requested range contained "civictech", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Thursday, 31 December 2020 at 16:18 UTC.
The requested start date was Thursday, 31 December 2020 at 01:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 13-day, 20-hour, 4-minute period from Thursday, 17 December 2020 at 02:08 UTC to Wednesday, 30 December 2020 at 22:12 UTC.
Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".
The graph is directed.
The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.
The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Author Description
Vertices : 614
Unique Edges : 472
Edges With Duplicates : 886
Total Edges : 1358
Number of Edge Types : 5
MentionsInRetweet : 504
Mentions : 289
Retweet : 355
Replies to : 20
Tweet : 190
Self-Loops : 197
Reciprocated Vertex Pair Ratio : 0.0489614243323442
Reciprocated Edge Ratio : 0.0933521923620934
Connected Components : 107
Single-Vertex Connected Components : 42
Maximum Vertices in a Connected Component : 226
Maximum Edges in a Connected Component : 680
Maximum Geodesic Distance (Diameter) : 16
Average Geodesic Distance : 6.474781
Graph Density : 0.00187841076353279
Modularity : 0.506337
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 614 Twitter users whose tweets in the requested range contained "civictech", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Thursday, 31 December 2020 at 16:18 UTC.
The requested start date was Thursday, 31 December 2020 at 01:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 13-day, 20-hour, 4-minute period from Thursday, 17 December 2020 at 02:08 UTC to Wednesday, 30 December 2020 at 22:12 UTC.
Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : GraphServerTwitterSearch
Graph Term : civictech
Groups : The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.
Edge Color : Edge Weight
Edge Width : Edge Weight
Edge Alpha : Edge Weight
Vertex Radius : Betweenness Centrality
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[30] biden,administration [25] #civictech,#govtech [24] civic,tech [22] #govtech,#civictech [20] #bigdata,#datascience [18] building,smarter [18] smarter,city [18] city,robsilverberg1 [18] robsilverberg1,#digitaltransformation [18] #digitaltransformation,#industy40 Top Word Pairs in Tweet in G1:
[13] excited,planetmoney [13] planetmoney,episode [13] episode,interviewed [13] interviewed,taiwan's [13] taiwan's,response [13] response,covid [13] covid,audreyt [13] audreyt,#civictech [13] #civictech,live [12] aschrock,excited Top Word Pairs in Tweet in G2:
[2] nabaorg,bethlehemalemu [2] bethlehemalemu,jasonnjoku [2] jasonnjoku,adii [2] adii,helveticsolar [2] helveticsolar,lrutto [2] lrutto,alikodangote [2] alikodangote,freddyhtw [2] freddyhtw,desmondmabuza [2] desmondmabuza,jp_iwuoha [2] jp_iwuoha,sassoucg Top Word Pairs in Tweet in G3:
[27] biden,administration [15] look,towards [15] towards,biden [15] administration,expect [15] expect,continued [15] continued,focus [15] focus,modernization [15] modernization,over [15] over,next [15] next,few Top Word Pairs in Tweet in G4:
[13] initiatieven,uitgelicht [13] #civictech,#govtech [8] #collectie,corona [8] corona,initiatieven [5] #collectie,hulpvragen [5] hulpvragen,initiatieven [4] 21,uhr [3] civic,tech [3] learn,more [3] advent,calendar Top Word Pairs in Tweet in G5:
[18] #bigdata,#datascience [17] building,smarter [17] smarter,city [17] city,robsilverberg1 [17] robsilverberg1,#digitaltransformation [17] #digitaltransformation,#industy40 [17] #industy40,#bigdata [16] kirkdborne,building [16] #bigdata,#datasc [13] role,#ai Top Word Pairs in Tweet in G6:
[11] #publicinteresttech,#civictech [7] check,center [7] center,countering [7] countering,digital [7] digital,hate [7] hate,analysis [4] important,thread [4] thread,complement [4] complement,timnitgebru [4] timnitgebru,recent Top Word Pairs in Tweet in G7:
[6] axeldauchez,président [6] président,make_org [5] retrouvez,axeldauchez [5] make_org,aujourd'hui [5] 2020,333 [5] 333,292 [5] 292,citoyennes [5] citoyennes,citoyens [5] citoyens,sont [5] sont,prononcés Top Word Pairs in Tweet in G8:
[13] 八代市,トヨタ九州 [13] トヨタ九州,sunabacoで行ってきましたcivictech [13] sunabacoで行ってきましたcivictech,innovator養成講座がcnetで記事になりました [12] nakamakoko,八代市 [7] 来年はノーコーディングでデータ解析をしてビジネス戦略などを作るためのコースやるかも,今のcivictech [7] 今のcivictech,innovator養成講座の上級コース [6] nakamakoko,来年はノーコーディングでデータ解析をしてビジネス戦略などを作るためのコースやるかも [5] アイデアを一歩進めたいと思ってた矢先に,slackにユーザビリティエンジニアリングの動画発見 [5] slackにユーザビリティエンジニアリングの動画発見,いいんですか [5] いいんですか,めちゃ濃密で1 Top Word Pairs in Tweet in G9:
[18] #uracima,#civictech [18] #civictech,#urayasu [8] advent,calendar [5] pc版,スマホ版 [5] calendar,2020 [3] スマホ版,#uracima [3] 千葉県ｈｐのデータをもとに,千葉県コロナウイルス感染者数マップを更新しました [3] 千葉県コロナウイルス感染者数マップを更新しました,千葉県ｈｐ [3] happy,holidays [3] holidays,シビックテック Top Word Pairs in Tweet in G10:
[8] led,#civictech [7] hello,civic [7] civic,tech [7] tech,toronto [7] toronto,community [7] community,year [7] year,grateful [7] grateful,each [7] each,whether [7] whether,led Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G8:
Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: